| An efficient hardware accelerator for sparse convolutional neural networks on FPGAs L Lu, J Xie, R Huang, J Zhang, W Lin, Y Liang 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 173 | 2019 |
| SRAM-DRAM hybrid memory with applications to efficient register files in fine-grained multi-threading WS Yu, R Huang, SQ Xu, SE Wang, E Kan, GE Suh Proceedings of the 38th annual international symposium on Computer …, 2011 | 103 | 2011 |
| System-level hardware failure prediction using deep learning X Sun, K Chakrabarty, R Huang, Y Chen, B Zhao, H Cao, Y Han, X Liang, ... Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 91 | 2019 |
| Predicting node failures in an ultra-large-scale cloud computing platform: an aiops solution Y Li, ZM Jiang, H Li, AE Hassan, C He, R Huang, Z Zeng, M Wang, ... ACM Transactions on Software Engineering and Methodology (TOSEM) 29 (2), 1-24, 2020 | 81 | 2020 |
| An empirical study on crash recovery bugs in large-scale distributed systems Y Gao, W Dou, F Qin, C Gao, D Wang, J Wei, R Huang, L Zhou, Y Wu Proceedings of the 2018 26th ACM joint meeting on european software …, 2018 | 60 | 2018 |
| Ivec: off-chip memory integrity protection for both security and reliability R Huang, GE Suh ACM SIGARCH Computer Architecture News 38 (3), 395-406, 2010 | 41 | 2010 |
| An efficient hardware design for accelerating sparse CNNs with NAS-based models Y Liang, L Lu, Y Jin, J Xie, R Huang, J Zhang, W Lin IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 40 | 2021 |
| Orthrus: Efficient software integrity protection on multi-cores R Huang, DY Deng, GE Suh ACM SIGARCH Computer Architecture News 38 (1), 371-384, 2010 | 31 | 2010 |
| Non-race concurrency bug detection through order-sensitive critical sections R Huang, E Halberg, GE Suh ACM SIGARCH computer architecture news 41 (3), 655-666, 2013 | 10 | 2013 |
| Speedy: An accelerator for sparse convolutional neural networks on fpgas L Lu, Y Liang, R Huang, W Lin, X Cui, J Zhang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 7 | 2019 |
| System-level hardware failure prediction using deep learning. In 2019 56th ACM/IEEE design automation conference (DAC) X Sun, K Chakrabarty, R Huang, Y Chen, B Zhao, H Cao, Y Han, X Liang, ... IEEE, 2019 | 7 | 2019 |
| Low-Overhead and High Coverage Run-Time Race Detection Through Selective Meta-data Management R Huang, E Halberg, A Ferraiuolo, GE Suh 20th International Symposium On High Performance Computer Architecture (HPCA …, 2014 | 6 | 2014 |
| Systematic security assessment at an early processor design stage R Huang, D Grawrock, DC Doughty, GE Suh Trust and Trustworthy Computing: 4th International Conference, TRUST 2011 …, 2011 | 1 | 2011 |
| Detecting and mitigating concurrency bugs R Huang Cornell University, 2013 | | 2013 |
| FCCM 2019 D Shah, E Hung, L Lu, J Xie, R Huang, J Zhang, W Lin | | |
Edward SuhNVIDIA / Cornell University在 csl.cornell.edu 的电子邮件经过验证